English
Related papers

Related papers: Autocomplete Textures for 3D Printing

200 papers

In this paper, we propose a novel fully automatic pipeline to generate text images that are legible and strongly aligned to the desired semantic concept taken from the users' inputs. In our method, users are able to put three inputs into…

Graphics · Computer Science 2025-12-02 Mohammad Javadian Farzaneh , Selim Balcisoy

Laser material processing has emerged as a versatile and indispensable tool in various industries, including manufacturing, healthcare, and materials science. However, the interaction of a lasers with surfaces is highly dependent on a large…

Materials Science · Physics 2026-04-15 Christoph Zwahr , Frederic Schell , Tobias Steege , Andrés Fabián Lasagni

Painting textures for existing geometries is a critical yet labor-intensive process in 3D asset generation. Recent advancements in text-to-image (T2I) models have led to significant progress in texture generation. Most existing research…

Computer Vision and Pattern Recognition · Computer Science 2025-03-26 Yifei Feng , Mingxin Yang , Shuhui Yang , Sheng Zhang , Jiaao Yu , Zibo Zhao , Yuhong Liu , Jie Jiang , Chunchao Guo

Many methods have been proposed over the years to tackle the task of facial 3D geometry and texture recovery from a single image. Such methods often fail to provide high-fidelity texture without relying on 3D facial scans during training.…

Computer Vision and Pattern Recognition · Computer Science 2021-10-12 Ron Slossberg , Ibrahim Jubran , Ron Kimmel

We introduce Material Coating, a novel image editing task that simulates applying a thin material layer onto an object while preserving its underlying coarse and fine geometry. Material coating is fundamentally different from existing…

Graphics · Computer Science 2025-12-03 Sagie Levy , Elad Aharoni , Matan Levy , Ariel Shamir , Dani Lischinski

In this paper, we investigate deep image synthesis guided by sketch, color, and texture. Previous image synthesis methods can be controlled by sketch and color strokes but we are the first to examine texture control. We allow a user to…

Computer Vision and Pattern Recognition · Computer Science 2018-04-17 Wenqi Xian , Patsorn Sangkloy , Varun Agrawal , Amit Raj , Jingwan Lu , Chen Fang , Fisher Yu , James Hays

3D reconstruction is a technique used in computer vision which has a wide range of applications in areas like object recognition, city modelling, virtual reality, physical simulations, video games and special effects. Previously, to perform…

Computer Vision and Pattern Recognition · Computer Science 2017-10-06 Saed Khawaldeh , Tajwar Abrar Aleef , Usama Pervaiz , Vu Hoang Minh , Yeman Brhane Hagos

This paper presents TexRO, a novel method for generating delicate textures of a known 3D mesh by optimizing its UV texture. The key contributions are two-fold. We propose an optimal viewpoint selection strategy, that finds the most…

Computer Vision and Pattern Recognition · Computer Science 2024-05-13 Jinbo Wu , Xing Liu , Chenming Wu , Xiaobo Gao , Jialun Liu , Xinqi Liu , Chen Zhao , Haocheng Feng , Errui Ding , Jingdong Wang

While the problem of image aesthetics has been well explored, the study of 3D shape aesthetics has focused on specific manually defined features. In this paper, we learn an aesthetics measure for 3D shapes autonomously from raw voxel data…

Graphics · Computer Science 2016-08-18 Kapil Dev , Manfred Lau , Ligang Liu

Perceiving accurate 3D object shape is important for robots to interact with the physical world. Current research along this direction has been primarily relying on visual observations. Vision, however useful, has inherent limitations due…

Computer Vision and Pattern Recognition · Computer Science 2018-08-10 Shaoxiong Wang , Jiajun Wu , Xingyuan Sun , Wenzhen Yuan , William T. Freeman , Joshua B. Tenenbaum , Edward H. Adelson

In this work, we investigate the problem of creating high-fidelity 3D content from only a single image. This is inherently challenging: it essentially involves estimating the underlying 3D geometry while simultaneously hallucinating unseen…

Computer Vision and Pattern Recognition · Computer Science 2023-04-04 Junshu Tang , Tengfei Wang , Bo Zhang , Ting Zhang , Ran Yi , Lizhuang Ma , Dong Chen

We propose FaceCom, a method for 3D facial shape completion, which delivers high-fidelity results for incomplete facial inputs of arbitrary forms. Unlike end-to-end shape completion methods based on point clouds or voxels, our approach…

Computer Vision and Pattern Recognition · Computer Science 2024-06-05 Yinglong Li , Hongyu Wu , Xiaogang Wang , Qingzhao Qin , Yijiao Zhao , Yong wang , Aimin Hao

3D shape completion is traditionally solved using supervised training or by distribution learning on complete shape examples. Recently self-supervised learning approaches that do not require any complete 3D shape examples have gained more…

Computer Vision and Pattern Recognition · Computer Science 2024-09-25 Mengya Liu , Ajad Chhatkuli , Janis Postels , Luc Van Gool , Federico Tombari

The creation of high-fidelity, customizable 3D indoor scene textures remains a significant challenge. While text-driven methods offer flexibility, they lack the precision for fine-grained, instance-level control, and often produce textures…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Weilin Chen , Jiahao Rao , Wenhao Wang , Xinyang Li , Xuan Cheng , Liujuan Cao

Precise geometric control in image generation is essential for engineering \& product design and creative industries to control 3D object features accurately in image space. Traditional 3D editing approaches are time-consuming and demand…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Phillip Mueller , Talip Uenlue , Sebastian Schmidt , Marcel Kollovieh , Jiajie Fan , Stephan Guennemann , Lars Mikelsons

Recent years have seen an explosion of work and interest in text-to-3D shape generation. Much of the progress is driven by advances in 3D representations, large-scale pretraining and representation learning for text and image data enabling…

Computer Vision and Pattern Recognition · Computer Science 2024-03-21 Han-Hung Lee , Manolis Savva , Angel X. Chang

As image generation techniques mature, there is a growing interest in explainable representations that are easy to understand and intuitive to manipulate. In this work, we turn to co-occurrence statistics, which have long been used for…

Computer Vision and Pattern Recognition · Computer Science 2020-07-24 Anna Darzi , Itai Lang , Ashutosh Taklikar , Hadar Averbuch-Elor , Shai Avidan

Deformable object manipulation remains a key challenge in developing autonomous robotic systems that can be successfully deployed in real-world scenarios. In this work, we explore the challenges of deformable object manipulation through the…

Robotics · Computer Science 2025-03-05 Alison Bartsch , Amir Barati Farimani

Using (casual) images to texture 3D models is a common way to create realistic 3D models, which is a very important task in computer graphics. However, if the shape of the casual image does not look like the target model or the target…

Graphics · Computer Science 2018-09-11 I-Chao Shen , Yi-Hau Wang , Yu-Mei Chen , Bing-Yu Chen

We present Reverse Projection, a novel projective texture mapping technique for painting a decal directly to the texture of a 3D object. Designed to be used in games, this technique works in real-time. By using projection techniques that…

Computer Vision and Pattern Recognition · Computer Science 2024-01-12 Adrian Xuan Wei Lim , Lynnette Hui Xian Ng , Conor Griffin , Nicholas Kyger , Faraz Baghernezhad
‹ Prev 1 4 5 6 7 8 10 Next ›